There have been numerous examples of harm caused by the deployment of large generative models. For example, the AI system Tay was deployed before it was properly scrutinized, and generated hateful language [1]}. It has also been shown that language models can memorize training data (which in turn can include privately identifiable information) [2]}, [3]} and aid in disinformation campaigns [4]}. Furthermore, people critical of organizations deploying such models have been directly harmed for voicing their concerns, sometimes to much controversy.https://www.wired.com/story/google-timnit-gebru-ai-what-really-happened/ Legislators are actively grappling with these issues. For example, the European Commission's proposed AI legislation seeks to create standards for how `high risk'AI systems are deployed and monitored.https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence This suggests that standards and norms for responsible model development and deployment are both significantly needed and lacking.
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